Macy's (M) Selling, General & Administrative (2009 - 2026)
Macy's' Selling, General & Administrative was $1.96 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 0.8% from $1.94 billion a year earlier and up 0.4% from the prior quarter.
Macy's (M) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Macy's' Selling, General & Administrative was $8.3 billion through Aug 1, 2026, down 0.1% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $8.24 billion, down 1.1% from FY2025.
- Selling, General & Administrative has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 4.0% (FY2021 to FY2026).
- In earlier fiscal years, Selling, General & Administrative was $8.33 billion in FY2025 (-0.5%), $8.38 billion in FY2024 (-1.0%), $8.46 billion in FY2023 (+3.8%) and $8.15 billion in FY2022 (+20.5%).
- Quarterly Selling, General & Administrative has moved between $1.91 billion (fiscal Q1 2023) and $2.54 billion (fiscal Q4 2022) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in four of the last eight quarters, with an average decline of 0.1%.
- The best year-over-year quarter for Selling, General & Administrative over five years was fiscal Q4 2022 (growth of 24.0%); the worst was fiscal Q4 2023 (a decline of 3.2%).
- Per Business Quant data, M's Selling, General & Administrative in the three fiscal quarters before Q2 2027 was $1.95 billion (Q1 2027), $2.36 billion (Q4 2026) and $2.02 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 2.79 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 8.42 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Macy's | 6.01 Bn | 1.73 Bn | 2.21 Bn | 1.96 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.96 Bn |
| May 2, 2026 | 1.95 Bn |
| Jan 31, 2026 | 2.36 Bn |
| Nov 1, 2025 | 2.02 Bn |
| Aug 2, 2025 | 1.94 Bn |
| May 3, 2025 | 1.91 Bn |
| Feb 1, 2025 | 2.38 Bn |
| Nov 2, 2024 | 2.06 Bn |
| Aug 3, 2024 | 1.97 Bn |
| May 4, 2024 | 1.91 Bn |
| Feb 3, 2024 | 2.41 Bn |
| Oct 28, 2023 | 2.04 Bn |
| Jul 29, 2023 | 1.98 Bn |
| Apr 29, 2023 | 1.95 Bn |
| Jan 28, 2023 | 2.46 Bn |
| Oct 29, 2022 | 2.09 Bn |
| Jul 30, 2022 | 2.01 Bn |
| Apr 30, 2022 | 1.91 Bn |
| Jan 29, 2022 | 2.54 Bn |
| Oct 30, 2021 | 1.97 Bn |
Macy's Selling, General & Administrative API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=M&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "M", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=M&period=max&api_key=YOUR_API_KEY");
const data = await res.json();